Developing a novel DNA methylation risk score for survival and identification of prognostic gene mutations in endometrial cancer: a study based on TCGA data.

Po-Chien ShenYing-Fu WangHao-Chih ChangWen-Yen HuangCheng-Hsiang LoYu-Fu SuJen-Fu YangChun-Shu LinYang-Hong Dai

Published in: Japanese journal of clinical oncology (2022)

We developed a methylation-based prognostic stratification system for endometrial cancer. Low-risk group was associated with better survival and harboured more mutations in the key regulatory genes.

Keyphrases

endometrial cancer
dna methylation
genome wide
bioinformatics analysis
free survival
gene expression
transcription factor
big data
machine learning
artificial intelligence
data analysis